Literature DB >> 36178658

Time trade-off health state utility values for depression: a systematic review and meta-analysis.

Péter György Balázs1,2, Dalma Erdősi3,4, Antal Zemplényi3, Valentin Brodszky5.   

Abstract

PURPOSE: This study aims to systematically review the literature on health utility in depression generated by time trade-off (TTO) method and to compare health state vignettes.
METHODS: Systematic literature search was conducted following PRISMA guideline in 2020 November (updated in 2022 March) in Pubmed, Web of Science, PsycInfo, and Cochrane Database of Systematic Reviews. Random effect meta-analysis was conducted to pool vignette-based utility values of mild, moderate, and severe depression and to compare the preferences of depressed and nondepressed population.
RESULTS: Overall, 264 records were found, 143 screened by title and abstract after removing duplicates, 18 assessed full text, and 14 original publications included. Majority of the studies (n = 9) used conventional TTO method, and most of the studies (n = 8) applied 10-year timeframe. Eight studies evaluated self-experienced health (own-current depression). Six studies assessed vignette-based health states of remitted, mild, moderate, and severe depression, half of them applied McSad measure based health description. Altogether, 61 different utility values have been cataloged, mean utility of self-experienced depression states (n = 33) ranged between 0.89 (current-own depression) and 0.24 (worst experienced depression). Pooled utility estimates for vignette-based mild, moderate, and severe depression was 0.75, 0.66 and 0.50, respectively. Meta-regression showed that severe depression (β = -0.16) and depressed sample populations (β =  -0.13) significantly decrease vignette-based utility scores.
CONCLUSION: Our review revealed extent heterogeneity both in TTO methodology and health state vignette development. Patient's perception of depression health states was worse than healthy respondents.
© 2022. The Author(s).

Entities:  

Keywords:  Depression; Meta-analysis; Systematic review; Time trade-off; Utility catalog; Vignette comparison

Year:  2022        PMID: 36178658     DOI: 10.1007/s11136-022-03253-5

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   3.440


  60 in total

1.  QALYs: the basics.

Authors:  Milton C Weinstein; George Torrance; Alistair McGuire
Journal:  Value Health       Date:  2009-03       Impact factor: 5.725

2.  A comparison of methods for converting DCE values onto the full health-dead QALY scale.

Authors:  Donna Rowen; John Brazier; Ben Van Hout
Journal:  Med Decis Making       Date:  2014-11-14       Impact factor: 2.583

3.  The Challenges of Improving Treatments for Depression.

Authors:  Pim Cuijpers
Journal:  JAMA       Date:  2018-12-25       Impact factor: 56.272

Review 4.  Societal burden of adolescent depression, an overview and cost-of-illness study.

Authors:  D H M Bodden; Y Stikkelbroek; C D Dirksen
Journal:  J Affect Disord       Date:  2018-07-18       Impact factor: 4.839

Review 5.  Utility approach to measuring health-related quality of life.

Authors:  G W Torrance
Journal:  J Chronic Dis       Date:  1987

Review 6.  International Regulations and Recommendations for Utility Data for Health Technology Assessment.

Authors:  Donna Rowen; Ismail Azzabi Zouraq; Helene Chevrou-Severac; Ben van Hout
Journal:  Pharmacoeconomics       Date:  2017-12       Impact factor: 4.981

7.  A comparison of the reliability and validity of SF-6D, EQ-5D and HUI3 utility measures in patients with schizophrenia and patients with depression in Singapore.

Authors:  Edimansyah Abdin; Siow Ann Chong; Esmond Seow; Chao Xu Peh; Jit Hui Tan; Jianlin Liu; Sophia Foo Si Hui; Boon Yiang Chua; Kang Sim; Swapna Verma; Janhavi Ajit Vaingankar; Mythily Subramaniam
Journal:  Psychiatry Res       Date:  2019-03-01       Impact factor: 3.222

8.  Time trade-off: one methodology, different methods.

Authors:  Arthur E Attema; Yvette Edelaar-Peeters; Matthijs M Versteegh; Elly A Stolk
Journal:  Eur J Health Econ       Date:  2013-07

9.  What is it going to be, TTO or SG? A direct test of the validity of health state valuation.

Authors:  Stefan A Lipman; Werner B F Brouwer; Arthur E Attema
Journal:  Health Econ       Date:  2020-08-03       Impact factor: 2.395

10.  Which multi-attribute utility instruments are recommended for use in cost-utility analysis? A review of national health technology assessment (HTA) guidelines.

Authors:  Matthew Kennedy-Martin; Bernhard Slaap; Michael Herdman; Mandy van Reenen; Tessa Kennedy-Martin; Wolfgang Greiner; Jan Busschbach; Kristina S Boye
Journal:  Eur J Health Econ       Date:  2020-06-08
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